Loading...
🔐
System Prompt Protection Pattern(SPP)
Protects system prompts from extraction and manipulation attempts
Complexity: mediumSecurity & Privacy Patterns
🎯 30-Second Overview
Pattern: Protects system prompts from extraction through encoding, filtering, and monitoring
Why: System prompts contain IP and security logic; extraction enables bypasses and theft
Key Insight: Encoding + output filtering + behavioral monitoring = protected instructions
⚡ Quick Implementation
1Encode Prompts:Hash/encrypt system instructions
2Filter Outputs:Detect & block prompt leakage attempts
3Separate Contexts:Isolate system vs user prompts
4Monitor Patterns:Track extraction attempt signatures
5Dynamic Defense:Rotate protections & obfuscation
Example: prompt_encoding → output_filtering → context_separation → pattern_monitoring → adaptive_defense
📋 Do's & Don'ts
✅Use cryptographic hashing for prompt fingerprinting
✅Implement output filtering for known extraction patterns
✅Separate system and user contexts architecturally
✅Monitor for unusual query patterns indicating attacks
✅Use instruction hierarchies with override protection
❌Store system prompts in plain text accessible memory
❌Allow direct prompt echoing or reflection
❌Trust user inputs to respect prompt boundaries
❌Use static defense patterns without adaptation
❌Ignore coordinated extraction attempts across sessions
🚦 When to Use
Use When
- • Proprietary system behaviors
- • Competitive advantage prompts
- • Security-critical instructions
- • IP-protected methodologies
Avoid When
- • Open-source transparent systems
- • Educational/research contexts
- • Simple Q&A applications
- • Non-proprietary workflows
📊 Key Metrics
Extraction Attempts
Blocked prompt theft tries/day
Leakage Rate
% responses containing prompt traces
Detection Accuracy
True vs false positive ratio
Prompt Integrity
Unchanged behavior over time
Performance Impact
ms latency from protection
Attack Evolution
New extraction techniques/month
💡 Top Use Cases
Enterprise AI: Protect proprietary reasoning chains & business logic
Medical Diagnosis: Shield clinical decision protocols from extraction
Financial Models: Guard trading strategies & risk assessment prompts
Legal AI: Protect case analysis methodologies & compliance rules
Creative AI: Secure unique style instructions & generation techniques
References & Further Reading
Deepen your understanding with these curated resources
Defense Techniques
Contribute to this collection
Know a great resource? Submit a pull request to add it.
🔐
System Prompt Protection Pattern(SPP)
Protects system prompts from extraction and manipulation attempts
Complexity: mediumSecurity & Privacy Patterns
🎯 30-Second Overview
Pattern: Protects system prompts from extraction through encoding, filtering, and monitoring
Why: System prompts contain IP and security logic; extraction enables bypasses and theft
Key Insight: Encoding + output filtering + behavioral monitoring = protected instructions
⚡ Quick Implementation
1Encode Prompts:Hash/encrypt system instructions
2Filter Outputs:Detect & block prompt leakage attempts
3Separate Contexts:Isolate system vs user prompts
4Monitor Patterns:Track extraction attempt signatures
5Dynamic Defense:Rotate protections & obfuscation
Example: prompt_encoding → output_filtering → context_separation → pattern_monitoring → adaptive_defense
📋 Do's & Don'ts
✅Use cryptographic hashing for prompt fingerprinting
✅Implement output filtering for known extraction patterns
✅Separate system and user contexts architecturally
✅Monitor for unusual query patterns indicating attacks
✅Use instruction hierarchies with override protection
❌Store system prompts in plain text accessible memory
❌Allow direct prompt echoing or reflection
❌Trust user inputs to respect prompt boundaries
❌Use static defense patterns without adaptation
❌Ignore coordinated extraction attempts across sessions
🚦 When to Use
Use When
- • Proprietary system behaviors
- • Competitive advantage prompts
- • Security-critical instructions
- • IP-protected methodologies
Avoid When
- • Open-source transparent systems
- • Educational/research contexts
- • Simple Q&A applications
- • Non-proprietary workflows
📊 Key Metrics
Extraction Attempts
Blocked prompt theft tries/day
Leakage Rate
% responses containing prompt traces
Detection Accuracy
True vs false positive ratio
Prompt Integrity
Unchanged behavior over time
Performance Impact
ms latency from protection
Attack Evolution
New extraction techniques/month
💡 Top Use Cases
Enterprise AI: Protect proprietary reasoning chains & business logic
Medical Diagnosis: Shield clinical decision protocols from extraction
Financial Models: Guard trading strategies & risk assessment prompts
Legal AI: Protect case analysis methodologies & compliance rules
Creative AI: Secure unique style instructions & generation techniques
References & Further Reading
Deepen your understanding with these curated resources
Defense Techniques
Contribute to this collection
Know a great resource? Submit a pull request to add it.